{"id":"W6963821360","doi":"10.25318/2710026501-fra","title":"Innovation, les industries de l'exploitation forestière et de la fabrication, pourcentage d'usines ayant des dépenses sur des services de recherche et développement par différents emplacements","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Prospection; Pilotage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0008589661,0.001663035,0.001261287,0.006958597,0.001532117,0.002769762,0.002575011,0.001348513,0.03479458],"category_scores_gemma":[0.0066618,0.0007017169,0.001170564,0.01582741,0.0005642914,0.001179758,0.001286576,0.002023745,0.02415629],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01284264,"about_ca_system_score_gemma":0.02731822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9137708,"about_ca_topic_score_gemma":0.9499816,"domain_scores_codex":[0.9986859,0.00007136387,0.0001262469,0.0002462693,0.0005134412,0.0003567697],"domain_scores_gemma":[0.9944793,0.0006806234,0.0005691976,0.0004000513,0.003356611,0.0005142012],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004356625,0.000014483,0.004137751,0.0003578135,0.00002143293,0.00001847142,0.00004750928,0.0002307377,0.00004489898,0.0007610798,0.9922062,0.002116055],"study_design_scores_gemma":[0.0001136101,0.00001063032,0.04045817,0.0003195976,0.00003541999,0.00003434422,0.0002993824,0.000399744,0.0003010875,0.0005099993,0.9574799,0.00003806706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002100787,0.00005785976,0.00002386615,0.0000493261,0.00001344984,0.000005944722,0.9988467,0.00004977156,0.0007430995],"genre_scores_gemma":[0.000845595,0.0001102754,0.0001730322,0.00003707258,0.000006991414,0.00003361128,0.996013,0.00002339102,0.002757027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.999141,"threshold_uncertainty_score":0.173474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0881176614860295,"score_gpt":0.3856119586777487,"score_spread":0.2974942971917192,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}